Rainflow-counting matrix interpolation over different operating conditions for hydroelectric turbine fatigue assessment

Pham, Quang Hung; Gagnon, Martin; Antoni, Jérôme; Tahan, Antoine; Monette, Christine

doi:10.1016/j.renene.2021.03.036

Cited by 15 publications

(10 citation statements)

References 25 publications

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“…Among them, the rainflow counting algorithm (Matsuishi & Endo, 1968;Richards et al, 1974) seems to provide the most accurate results (Carpinteri et al, 2017) because it composes loading cycles that correspond to closed stress-strain hysteresis loops. Although considerable progress has been achieved in damage models for uniaxial (Pavlou, 2018) and multiaxial (Carpinteri & Spagnoli, 2001) fatigue, the life prediction with all the available applicable methods is still based on the rainflow cycle counting (Matsubara & Hayashida, 2021;Pham et al, 2021;Stellmach et al, 2021;Xie et al, 2021). Rainflow algorithms are also used for the prediction of an equivalent number of cycles during an earthquake (Stafford & Bommer, 2009).…”

Section: Deterministic Fatigue Damage-based Methodsmentioning

confidence: 99%

A deterministic algorithm for nonlinear, fatigue‐based structural health monitoring

Pavlou

2021

Computer aided Civil Eng

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The irregularity of peak and valley stress values of loading histories is the main impediment for accurate fatigue‐based structural health monitoring. Since the available fatigue material data (e.g., S‐N curves) have been derived by cyclic loading tests, and the existing damage accumulation models can be implemented on structures under cyclic loading, cycle‐counting algorithms for the transformation of a spectrum loading into an equivalent cyclic one are necessary for deterministic fatigue damage estimation and life prediction. The existing four cycle‐counting algorithms have an inherent disadvantage; the sequence of the derived cycles is unknown, and the loading sequence effect on the fatigue damage estimation and life prediction cannot be accounted for (linear damage summation). The present work proposes a new damage estimation algorithm containing two modules: a new cycle‐counting algorithm and a new damage summation algorithm. Unlike the existing methods, the proposed algorithm takes into account the loading sequence effect and has a solid physical base because it simulates the nonlinear damage accumulation with a multi‐linear damage summation procedure. With the aid of a new concept of inserting fictitious loading cycles in the irregular spectrum, the proposed cycle counting module counts loading cycles that correspond to loading loops with an algorithm that is easily applicable in engineering practice. According to the author's knowledge, nonlinear damage accumulation estimation in structures under an irregular loading spectrum is carried out for the first time. The effect of the loading sequence to high‐low two‐stage random loading, low‐high two‐stage random loading, decreasing amplitude multi‐stage random loading, increasing amplitude multi‐stage random loading, and alternating amplitude random loading is examined and discussed.

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Section: Deterministic Fatigue Damage-based Methodsmentioning

confidence: 99%

A deterministic algorithm for nonlinear, fatigue‐based structural health monitoring

Pavlou

2021

Computer aided Civil Eng

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“…e rain flow counting method is mainly used in engineering, especially in fatigue life calculation [42][43][44].…”

Section: Rain-flow Counting Methodmentioning

confidence: 99%

Fatigue Assessment of Monopile Supported Offshore Wind Turbine under Non‐Gaussian Wind Field

Rong

Cheng

et al. 2021

Shock and Vibration

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The vibration of offshore wind turbines caused by external loads is significant, which will cause fatigue damage to offshore wind turbines. Wind load is the main load during the operation period of the wind turbine, and available studies have shown that the external wind field often exhibits certain non-Gaussian characteristics. This article aims to obtain the fatigue assessment of the monopile foundation of the wind turbine under the non-Gaussian wind fields. A 5 MW wind turbine is selected in this article, and OpenFAST is applied to simulate the wind load. By comparing the Mises stress time histories of the pile foundation at a different depth, the fatigue analysis of the critical spots of the pile foundation is obtained. In the analysis of fatigue damage, the rain flow counting method is adopted, and the two-segment S-N curve is selected to analyze the fatigue life of the critical spots. The results show that, by taking the non-Gaussian characteristic of the wind field into account, the fatigue life of the monopile foundation decreases. Therefore, attention should be paid to the influence of non-Gaussian characteristics of wind fields on the fatigue life of monopile-supported wind turbines.

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“…For this reason, the fatigue properties of turbine runners have received a lot of attention in recent years. Runner blades experience increasing dynamic strains due to the greater operating range of turbines due to changes in the use of electrical networks [129]. Since blade fatigue cracking is one of the predominant degradation mechanisms, designers need to ensure that the runner will endure its expected lifespan without cracking.…”

Section: Fatigue Failurementioning

confidence: 99%

Common Failures in Hydraulic Kaplan Turbine Blades and Practical Solutions

2023

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Kaplan turbines, as one of the well-known hydraulic turbines, are generally utilized worldwide for low-head and high-flow conditions. Any failure in each of the turbine components can result in long-term downtime and high repair costs. In a particular case, if other parts are damaged due to the impact of the broken blades (e.g., the main shaft of the turbine), the whole power plant may be shut down. On the other hand, further research on the primary causes of failures in turbines can help improve the present failure evaluation methodologies in power plants. Hence, the main objective of this paper is to present the major causes of Kaplan turbine failures to prevent excessive damage to the equipment and provide practical solutions for them. In general, turbines are mainly subjected to both Internal Object Damage (IOD) and Foreign Object Damage (FOD). Accordingly, this paper presents a state-of-the-art review of Kaplan turbine failures related to material and physical defects, deficiencies in design, deficits in manufacturing and assembly processes, corrosion failures, fatigue failure, cavitation wear, types of cavitation in hydro turbines, hydro-abrasive problems, and hydro-erosion problems. Eventually, the authors have attempted to discuss practical hints (e.g., nanostructured coatings) to prevent damages and improve the performance of Kaplan turbines.

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Rainflow-counting matrix interpolation over different operating conditions for hydroelectric turbine fatigue assessment

Cited by 15 publications

References 25 publications

A deterministic algorithm for nonlinear, fatigue‐based structural health monitoring

A deterministic algorithm for nonlinear, fatigue‐based structural health monitoring

Fatigue Assessment of Monopile Supported Offshore Wind Turbine under Non‐Gaussian Wind Field

Common Failures in Hydraulic Kaplan Turbine Blades and Practical Solutions

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